Eva Schlecker

816 citations
4 papers · 664 indexed · h-index 4

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Chemokine receptors and signaling

Papers in

    • Immune cells in cancer 2
    • Immune Cell Function and Interaction 2
    • Inflammation biomarkers and pathways 1
    • T-cell and B-cell Immunology 1
    • Reproductive System and Pregnancy 1
    • CAR-T cell therapy research 1
    • Chemokine receptors and signaling 1

Eva Schlecker

4 papers receiving 654 citations

Peers

Eva Schlecker
Comparison fields: 5 of 56
  • Immunology 569
  • Oncology 351
  • Biological Psychiatry 7
  • Genetics 29
  • Neurology 19
Replace Qods Lahmar with:
Qods Lahmar Belgium
Alessandro Moretta Italy
Carla Costa-Nunes Switzerland
E.Y. Woo United States
Jonathan J. Hodgins Canada
Alison M. McDonnell Australia
Antonina Avanzi United States
Joyce M. Lubbers Netherlands
Maria Teresa D’Urso Italy
Koen A. Marijt Netherlands
Eva Schlecker relative to Qods Lahmar Belgium Qods Lahmar's profile →
Citations per field
00.5×1.5×1.8×
Qods Lahmar · 1×
Citations per year

Countries citing papers authored by Eva Schlecker

Since Specialization
Citations

This map shows the geographic impact of Eva Schlecker's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eva Schlecker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Schlecker more than expected).

Fields of papers citing papers by Eva Schlecker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva Schlecker. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eva Schlecker. The network helps show where Eva Schlecker may publish in the future.

Co-authors

The 24 scholars most cited alongside Eva Schlecker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Schlecker Line = papers co-authored together Eva Schlecker links everyone, so they are left out of the graph.

All Works

About Eva Schlecker

Eva Schlecker is a scholar working on Immunology, Oncology, Public Health, Environmental and Occupational Health, Hematology and Infectious Diseases, having authored 4 papers that have together received 664 indexed citations. Recurring topics across this work include Immune cells in cancer (2 papers), Immune Cell Function and Interaction (2 papers), CAR-T cell therapy research (1 paper), Chemokine receptors and signaling (1 paper), Inflammation biomarkers and pathways (1 paper), T-cell and B-cell Immunology (1 paper), Reproductive System and Pregnancy (1 paper) and Neonatal and Maternal Infections (1 paper). The work is most often cited by research in Immunology (569 citations), Oncology (351 citations), Biological Psychiatry (7 citations), Genetics (29 citations) and Neurology (19 citations). Eva Schlecker has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Adelheid Cerwenka, Viktor Umansky, Ana Stojanovic, Christian Quack, Christian Eisen, Christine S. Falk, Ioanna E. Galani, Norman Nausch, Annette Arnold and Peter Altevogt. Their work appears in journals such as Blood, The Journal of Immunology and Cancer Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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